{"id":"https://openalex.org/W4401809254","doi":"https://doi.org/10.1109/iswcs61526.2024.10639055","title":"Exploring Machine Learning Techniques for Path Loss Prediction in LoRa Networks","display_name":"Exploring Machine Learning Techniques for Path Loss Prediction in LoRa Networks","publication_year":2024,"publication_date":"2024-07-14","ids":{"openalex":"https://openalex.org/W4401809254","doi":"https://doi.org/10.1109/iswcs61526.2024.10639055"},"language":"en","primary_location":{"id":"doi:10.1109/iswcs61526.2024.10639055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs61526.2024.10639055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 19th International Symposium on Wireless Communication Systems (ISWCS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018449222","display_name":"Rog\u00e9rio Ballestrin","orcid":"https://orcid.org/0009-0003-5699-2432"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Rog\u00e9rio Ballestrin","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul (UFRGS),Graduate Program in Electrical Engineering,Porto Alegre,RS,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul (UFRGS),Graduate Program in Electrical Engineering,Porto Alegre,RS,Brasil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106677011","display_name":"Jonas Feijo","orcid":null},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jonas Freitas Feij\u00f3","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul (UFRGS),Graduate Program in Electrical Engineering,Porto Alegre,RS,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul (UFRGS),Graduate Program in Electrical Engineering,Porto Alegre,RS,Brasil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103171352","display_name":"Max Feldman","orcid":"https://orcid.org/0000-0003-3210-9628"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Max Feldman","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul (UFRGS),Graduate Program in Electrical Engineering,Porto Alegre,RS,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul (UFRGS),Graduate Program in Electrical Engineering,Porto Alegre,RS,Brasil","institution_ids":["https://openalex.org/I130442723"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084896785","display_name":"Ivan M\u00fcller","orcid":"https://orcid.org/0000-0003-2914-0050"},"institutions":[{"id":"https://openalex.org/I130442723","display_name":"Universidade Federal do Rio Grande do Sul","ror":"https://ror.org/041yk2d64","country_code":"BR","type":"education","lineage":["https://openalex.org/I130442723"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Ivan M\u00fcller","raw_affiliation_strings":["Universidade Federal do Rio Grande do Sul (UFRGS),Graduate Program in Electrical Engineering,Porto Alegre,RS,Brasil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universidade Federal do Rio Grande do Sul (UFRGS),Graduate Program in Electrical Engineering,Porto Alegre,RS,Brasil","institution_ids":["https://openalex.org/I130442723"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I130442723"],"apc_list":null,"apc_paid":null,"fwci":5.5625,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.96910467,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12079","display_name":"IoT Networks and Protocols","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11932","display_name":"Wireless Body Area Networks","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12801","display_name":"Bluetooth and Wireless Communication Technologies","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7140934467315674},{"id":"https://openalex.org/keywords/path","display_name":"Path (computing)","score":0.5450260639190674},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4968278706073761},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4866564869880676},{"id":"https://openalex.org/keywords/path-loss","display_name":"Path loss","score":0.4641232490539551},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.27325403690338135},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.187767893075943},{"id":"https://openalex.org/keywords/wireless","display_name":"Wireless","score":0.11216315627098083}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140934467315674},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.5450260639190674},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4968278706073761},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4866564869880676},{"id":"https://openalex.org/C194273485","wikidata":"https://www.wikidata.org/wiki/Q1478845","display_name":"Path loss","level":3,"score":0.4641232490539551},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.27325403690338135},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.187767893075943},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.11216315627098083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iswcs61526.2024.10639055","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iswcs61526.2024.10639055","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 19th International Symposium on Wireless Communication Systems (ISWCS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321091","display_name":"Coordena\u00e7\u00e3o de Aperfei\u00e7oamento de Pessoal de N\u00edvel Superior","ror":"https://ror.org/00x0ma614"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W627140926","https://openalex.org/W2243299349","https://openalex.org/W2987166427","https://openalex.org/W3043909716","https://openalex.org/W3152586515","https://openalex.org/W3201183143","https://openalex.org/W4285891792","https://openalex.org/W4317987770","https://openalex.org/W4386463851"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"This":[0],"study":[1,134],"investigates":[2],"the":[3,66,121,126,129,133,137,149,154,164,173],"performance":[4,167],"of":[5,24,89,168,175],"various":[6],"machine":[7],"learning":[8],"techniques":[9],"in":[10,14,64,75,87,117,132],"predicting":[11],"signal":[12,73],"losses":[13,74],"Long":[15],"Range":[16],"(LoRa)":[17],"networks,":[18,170],"a":[19,106,114],"radio":[20],"solution":[21],"for":[22,60,103],"Internet":[23],"Things":[25],"(IoT)":[26],"applications.":[27],"Utilizing":[28],"an":[29],"existing":[30],"dataset":[31,138],"containing":[32],"propagation":[33],"parameters,":[34],"models":[35,98,112,143],"such":[36],"as":[37],"decision":[38],"tree,":[39],"random":[40],"forest,":[41],"support":[42],"vector":[43],"regression":[44],"(SVR),":[45],"Lasso":[46],"regression,":[47],"XGBoost,":[48],"and":[49,54,72,166],"neural":[50],"networks":[51],"were":[52],"trained":[53],"evaluated.":[55],"Each":[56],"model":[57],"was":[58,84,125,139],"chosen":[59],"its":[61],"unique":[62],"advantages":[63],"capturing":[65],"complex":[67],"relationship":[68],"between":[69],"input":[70],"variables":[71],"LoRa":[76,169],"mobile":[77],"node":[78],"propagation.":[79],"Through":[80],"comprehensive":[81],"analysis,":[82],"it":[83],"observed":[85],"that,":[86],"terms":[88],"Root":[90],"Mean":[91],"Square":[92],"Error":[93],"(RMSE),":[94],"all":[95],"proposed":[96],"AI":[97,111],"outperformed":[99],"traditional":[100],"algorithms,":[101],"except":[102],"SVR":[104],"with":[105,128],"sigmoid":[107],"kernel.":[108],"The":[109],"topperforming":[110],"demonstrated":[113],"significant":[115],"reduction":[116],"RMSE":[118,131],"compared":[119],"to":[120],"Log-Distance":[122],"model,":[123],"which":[124,136],"algorithm":[127],"smallest":[130],"from":[135],"sourced.":[140],"Although":[141],"AI-based":[142],"may":[144],"entail":[145],"higher":[146],"computational":[147,156],"overhead,":[148],"enhanced":[150],"prediction":[151],"accuracy":[152],"justifies":[153],"additional":[155],"expense.":[157],"These":[158],"findings":[159],"provide":[160],"insights":[161],"into":[162],"optimizing":[163],"reliability":[165],"thereby":[171],"facilitating":[172],"deployment":[174],"IoT":[176],"applications":[177],"across":[178],"diverse":[179],"real-world":[180],"scenarios.":[181]},"counts_by_year":[{"year":2025,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
